Triple
T33018778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheng Thao |
E844847
|
entity |
| Predicate | previousWorkPosition |
P28984
|
FINISHED |
| Object | chief of staff to Oakland councilmember At-Large Rebecca Kaplan |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: chief of staff to Oakland councilmember At-Large Rebecca Kaplan | Statement: [Sheng Thao, previousWorkPosition, chief of staff to Oakland councilmember At-Large Rebecca Kaplan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousWorkPosition Context triple: [Sheng Thao, previousWorkPosition, chief of staff to Oakland councilmember At-Large Rebecca Kaplan]
-
A.
earlierOccupation
chosen
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
-
B.
workPosition
Indicates the specific job role or position that an entity holds within an organization or workplace.
-
C.
previousDepartment
Indicates that an entity was formerly associated with or belonged to a specified department before a change occurred.
-
D.
formerEmployer
Indicates that one entity previously employed the other but no longer does so.
-
E.
previousCorporateAffiliation
Indicates that an entity was formerly employed by, associated with, or part of a specified corporate organization before its current status or affiliation.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fedfd913f48190bdcd450980868d9a |
completed | May 9, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fedf58c6e88190821a7156054c9086 |
completed | May 9, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:23 a.m.